Enterprise resource planning platforms hold an organisation's most valuable operational and financial records, yet extracting reliable insight from them is rarely simple. Table structures are complex, reporting needs change, legacy systems must be retired and cloud services add fresh options. Without a clear plan, data projects overrun budgets, deliver inconsistent figures and leave business users distrustful of dashboards.

Planning and Implementation of Data Engineering, Databases & ERP Data covers the complete lifecycle in two connected halves. The first five days establish foundations: scoping with stakeholders, data architecture, relational modelling, SQL, and a working knowledge of how ERP modules store finance, inventory, procurement and payroll data. The second five days build delivery skills, including automated pipelines, warehouse and lakehouse design, data quality controls, migration methods, security, monitoring and operational support.

The programme is practical throughout. Delegates build a sample database, write extraction and transformation code, design a dimensional model from ERP-style tables, rehearse a migration with reconciliation and then assemble these pieces in a capstone project with a documented plan, test results and handover notes. Participants should be comfortable with basic spreadsheet or SQL concepts but need not be professional engineers.

By the end of the course, participants will be able to:

• Scope a data engineering project and translate business needs into technical requirements.
• Design normalised relational databases and write SQL for extraction and analysis.
• Navigate ERP data structures across finance, procurement, inventory and HR modules.
• Build ETL or ELT pipelines with scheduling, logging and error handling.
• Model data warehouses using star schemas and slowly changing dimensions.
• Plan and rehearse ERP data migration with mapping, cleansing and reconciliation.
• Implement data quality tests, security controls and performance tuning.
• Prepare delivery plans, documentation and handover for operations teams.

The programme is designed for people who plan, build or depend on data systems, including:

• Database administrators and database developers
• Data engineers and analytics engineers
• ERP functional and technical consultants
• Systems analysts and business analysts
• BI and reporting developers
• IT project and programme managers
• Finance, procurement and supply chain system owners
• Government and bank IT staff managing system replacements

Participants leave the course with:

• A project scoping template for data engineering and ERP data work.
• A working relational database and tested SQL query library.
• A reusable pipeline built with Python and an orchestration tool.
• A dimensional model derived from ERP-style transaction tables.
• A migration plan with mapping sheets and a reconciliation checklist.
• A completed capstone with test evidence and a handover document.

The programme is laboratory led, with every concept applied to a data task. Learning methods include:

• Daily hands-on labs on PostgreSQL or equivalent database platforms
• Python scripting for extraction and transformation
• ERP-style sample datasets covering finance, inventory and procurement
• Planning workshops using realistic project scenarios
• A ten-day capstone culminating in a steering committee presentation

Participants who attend the full ten days and complete the capstone project are awarded a CPD-accredited Certificate of Completion by Vision Reach Global Consultancy.